Senior Manager, Data Analyst

This is a fully remote position, open to applicants in New Jersey.

📋 Description

• Lead the organization’s data strategy and supervise a team of analysts.

• Provide consistent reporting and valuable insights for Life Science clients, agency partners, and internal stakeholders.

• Automate, enhance, and expand the NPI-based reporting infrastructure.

• Perform claims-based analyses to pinpoint optimal audiences and evaluate impact.

• Create self-service reporting solutions for both technical and non-technical stakeholders.

• Identify scalable solutions for intricate Rx impact analyses grounded in claims data.

• Ensure high-quality reporting by leveraging efficiency, scalability, and cutting-edge technologies such as AI-supported tools.

• Oversee complex SQL and Python solutions, guiding the team on scalable best practices.

• Collaborate with data engineering teams on ETL pipelines, data integrity, governance, and security protocols.

• Articulate complex analytics and business impacts to senior executives and key stakeholders.

• Manage the day-to-day activities of the analytics team while delivering multiple concurrent data projects.

• Mentor and develop team members.

• Partner with leadership, external clients, and cross-functional teams to prioritize strategic data initiatives.

• Assess and implement emerging technologies to enhance data analytics capabilities.

⛳️ Requirements

• Bachelor’s degree in Business, Data Analytics, Information Systems, or a related field is mandatory.

• Master’s degree in Data Science, Business Analytics, or a related area is highly preferred.

• Relevant certifications in SQL, business intelligence tools, or data strategy are preferred.

• 10–15 years of experience in data analysis, business intelligence, or a related field.

• At least 3 years of experience in a leadership role.

• Proficient in SQL and Python.

• Experience with AWS cloud-based infrastructure.

• Extensive technical expertise and thorough knowledge in Life Science sponsored messaging.

• Proven experience managing complex data initiatives and delivering insights that impact business.

• Experience in mentoring junior team members.

• Advanced SQL skills, including complex database schemas, CTEs, window functions, and optimization of queries for large datasets.

• Advanced data wrangling skills, including automated data cleaning, management of large datasets, feature engineering, and data normalization.

• Proficient in data visualization, encompassing custom visualizations, geospatial visualizations, and interactive dashboards.

• Strong statistical knowledge, including hypothesis testing, regression analysis, and ANOVA.

• Experience in designing and implementing business intelligence solutions, including data modeling, ETL processes, and performance optimization.

• Strong programming skills using advanced techniques and frameworks.

• Excellent communication skills suitable for both technical and non-technical audiences.

• Significant knowledge of the healthcare domain.

• Willingness to travel to office locations or client sites as required.

• Adherence to company policies, required training, information security and compliance programs, SOC1, SOC2, PCI, HIPAA, business rules, ethics, and applicable laws.

🏝️ Benefits

• Opportunities for bonuses (or commissions).

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Life insurance.

• Disability insurance.

• Participation in the company’s 401(k) plan.

• Employer contributions to the 401(k) plan where applicable.

• Flexible paid time off (PTO) policy for exempt employees, covering sick days, personal days, and vacations.

• Eight standard company holidays annually.

• Three floating holidays annually.